Hyperparameter Tuning Courses and Certifications

Coursera

Optimize Deep Learning Models for Peak AI

Master transfer learning, model fine-tuning, and optimization techniques to deploy efficient deep learning models in production environments with balanced accuracy and performance.

• Coursera
• 1 hour 58 minutes
• Self-Paced
• Paid Course

Coursera

Evaluate and Create ML Workflows Visually

Master visual ML experiment evaluation using TensorBoard and refactor training code into reusable workflows with LightningModules and DataModules for real-world ML development.

• Coursera
• 1 hour 33 minutes
• Self-Paced
• Paid Course

EDUCBA

R: Design & Evaluate Random Forests for Attrition

Master Random Forest algorithms in R to predict employee attrition through hands-on model building, parameter tuning, and performance evaluation using real HR data.

• Coursera
• 4 hours 17 minutes
• Self-Paced
• Paid Course

Coursera

Optimize Deep Learning: Stabilize and Diagnose Models

Master deep learning optimization by stabilizing and diagnosing models, exploring techniques to improve performance, identify issues, and build resilient neural networks for real-world applications.

• Coursera
• 1 hour 57 minutes
• Self-Paced
• Paid Course

Abhishek Thakur

Automated Hyperparameter Tuning for Deep Neural Networks

Comprehensive guide to automated hyperparameter tuning for deep neural networks using Optuna, covering dataset preparation, model design, and optimization techniques in PyTorch.

• YouTube
• 56 minutes
• Self-Paced
• Free Video

Databricks Certified Machine Learning Associate Exam Guide

624 ratings at Udemy

Pass Databricks Certified Machine Learning Associate Certification with 10+ Hours of HD Quality Video & Lots of Hands-on

• Udemy
• 16 hours 6 minutes
• Self-Paced
• Paid Course

Support Vector Machines in Python: SVM Concepts & Code

558 ratings at Udemy

Learn Support Vector Machines in Python. Covers basic SVM models to Kernel-based advanced SVM models of Machine Learning

• Udemy
• 6 hours 20 minutes
• Self-Paced
• Paid Course

Prompt Engineering Frameworks & Methodologies

457 ratings at Udemy

Generative AI: DeepSeek, Gemini & Sora labs, auto‑priming, hyperparameter tuning, ethical safeguards

• Udemy
• 1 hour 46 minutes
• Self-Paced
• Paid Course

Aleksa Gordić - The AI Epiphany

Tensor Programs - Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Explore μTransfer: a technique for tuning large neural networks via zero-shot hyperparameter transfer, making optimal hyperparameters stable with respect to width scaling.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

KubeFlow Bootcamp

316 ratings at Udemy

Learn how to use Kubeflow for Machine Learning at scale on Google Cloud!

• Udemy
• 8 hours 10 minutes
• Self-Paced
• Paid Course

Mastering Deep Learning

Comprehensive exploration of Artificial Neural Networks and Convolutional Neural Networks, covering fundamental principles, applications, and practical implementation in diverse domains.

• Swayam
• 6 weeks
• Self-Paced
• Free Online Course

Learn to build, train, and test neural networks using TensorFlow and Keras. Covers deep learning fundamentals, regression models, and hyperparameter tuning for practical applications.

• Codecademy
• 4 hours
• Self-Paced
• Free Trial Available

Master the fundamentals of building GPT models from scratch with PyTorch, covering transformer architecture, text corpus training, and hyperparameter optimization for text generation.

• Codecademy
• 2 hours
• Self-Paced
• Free Trial Available

Career Certificate

Intermediate Machine Learning

Master advanced ML algorithms including Naive Bayes, SVMs, hyperparameter tuning, and ensemble methods to elevate your machine learning expertise through hands-on projects.

• Codecademy
• 8 hours
• Self-Paced
• Free Trial Available

Optimizing AI Strategies

Master AI model optimization through hyperparameter tuning, regularization, and deployment strategies to enhance trading performance and prevent overfitting.

• Udacity
• 17 hours
• Self-Paced
• Paid Course